Eragon
Posted 125 days agoVerified live 1d ago
Applied AI Intern
Brief overview
San FranciscoIn-person
UndergradOr in progress
$1k–$2k/wkStated range
PythonPyTorchTensorFlowMachine learningModel developmentData pipelinesExperimentationProblem solving
About the company
Eragoneragon.ai
Eragon is the AI Operating System built for your company — a reasoning engine that understands, learns, and acts across an entire organization.
Job description
Summary
Eragon is seeking an Applied AI Intern to help build and deploy production-grade AI systems. In this role, you’ll work closely with engineers and researchers to take models from concept to real-world applications, gaining hands-on experience across modeling, data, and systems.
Responsibilities
- Model Development: Assist in fine-tuning, evaluating, and applying machine learning models to real-world problems
- System Implementation: Help build and integrate AI-powered features into production systems
- Data & Pipelines: Work with datasets to support training, evaluation, and iteration
- Experimentation: Run experiments, analyze results, and iterate on model performance
- Evaluation & Monitoring: Contribute to evaluation frameworks and help track system performance
- Cross-Functional Collaboration: Work with engineering and product teams to support feature development
Skills
- Education: Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, or a related field
- Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
- ML Fundamentals: Understanding of basic machine learning concepts and workflows
- Problem Solving: Ability to break down problems and contribute to practical solutions
- Curiosity & Ownership: Strong desire to learn and contribute in a fast-paced environment
- Experience with ML projects, internships, or research
- Familiarity with LLMs, agents, or data pipelines
- Experience building projects outside of coursework
- Interest in working on real-world AI applications
Qualifications
Must Haves
- Education: Currently pursuing a Bachelor's or Master's in Computer Science, Engineering, or a related field
- Technical Skills: Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
- ML Fundamentals: Understanding of basic machine learning concepts and workflows
- Problem Solving: Ability to break down problems and contribute to practical solutions
- Curiosity & Ownership: Strong desire to learn and contribute in a fast-paced environment
Nice to Haves
- Experience with ML projects, internships, or research
- Familiarity with LLMs, agents, or data pipelines
- Experience building projects outside of coursework
- Interest in working on real-world AI applications
